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      <dc:title>SimpliPyTEM: An open-source Python library and app to simplify transmission electron microscopy and TEM image analysis</dc:title>
      <dc:creator>Ing, Gabriel</dc:creator>
      <dc:creator>Stewart, Andrew</dc:creator>
      <dc:creator>Battaglia, Giuseppe</dc:creator>
      <dc:creator>Ruiz-Perez, Lorena</dc:creator>
      <dc:subject>Microscòpia electrònica de transmissió</dc:subject>
      <dc:subject>Microscòpia electrònica</dc:subject>
      <dc:subject>Transmission electron microscopy</dc:subject>
      <dc:subject>Electron microscopy</dc:subject>
      <dc:description>Introducing SimpliPyTEM, a Python library and accompanying GUI that simplifies the post-acquisition evaluation of transmission electron microscopy (TEM) images, helping streamline the workflow. After an imaging session, a folder of image and/or video files, typically containing low contrast and large file size 32-bit images, can be quickly processed via SimpliPyTEM into high-quality, high-contrast.jpg images with suitably sized scale bars. The app can also generate HTML or PDF files containing the processed images for easy viewing and sharing. Additionally, SimpliPyTEM specifically focuses on &lt;em>in situ&lt;/em> TEM videos, an emerging field of EM involving the study of dynamic processes whilst imaging. The package allows fast data processing into preview movies, averages, image series, or motion-corrected averages. The accompanying Python library offers many standard image processing methods, all simplified to a single command, plus a module to analyse particle morphology and population. This latter application is particularly useful for life sciences investigations. User-friendly tutorials and clear documentation are included to help guide users through the processing and analysis. We invite the EM community to contribute to and further develop this open-source package.</dc:description>
      <dc:date>2024-11-29T16:44:16Z</dc:date>
      <dc:date>2024-11-29T16:44:16Z</dc:date>
      <dc:date>2023-10-05</dc:date>
      <dc:date>2024-11-29T16:44:16Z</dc:date>
      <dc:type>info:eu-repo/semantics/article</dc:type>
      <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
      <dc:relation>Reproducció del document publicat a: https://doi.org/doi.org/10.1371/journal.pone.0285691</dc:relation>
      <dc:relation>PLoS One, 2023, vol. 18, num.10, p. e0285691</dc:relation>
      <dc:relation>https://doi.org/doi.org/10.1371/journal.pone.0285691</dc:relation>
      <dc:rights>cc-by (c)  Ing, G. et al., 2023</dc:rights>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
      <dc:publisher>Public Library of Science (PLoS)</dc:publisher>
      <dc:source>Articles publicats en revistes (Física Aplicada)</dc:source>
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